In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.
Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
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A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world.
Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients.
Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role and Responsibilities
As a ML Engineer, you will develop, maintain, evaluate, and test ML solutions. You will be involved in data engineering activities like creating pipelines / workflows for Source to Target and implementing solutions that tackle the clients' needs.
Required Technical and Professional Expertise
- Experience working with cloud-based data management (GCP preferred)
- Data / Information architecture abilities
- Machine Learning experience
- Familiarity with analytics tools such as Jupyter Notebooks
- Experience working with Python
Additional Information
- Resources who can work in an unstructured environment as part of an R&D team on GenAI / AI.
- Need to be a problem solver, able to find solutions to unknown problems from vague requirements or concepts.
- Research and produce ideas.
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